Phreesia (PHR) Long-Term Debt Repayments (2018 - 2026)
Phreesia (PHR) recorded Long-Term Debt Repayments of $1.19 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 52.7% from $2.51 million a year earlier and down 29.3% from the prior quarter.
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Analysis
Phreesia (PHR) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a TTM basis, Phreesia's Long-Term Debt Repayments came in at $5.81 million as of Jul 31, 2026, down 31.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $6.83 million, down 12.6% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -19.9% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $7.81 million in FY2025 (+15.2%), $6.78 million in FY2024 (+18.3%), $5.73 million in FY2023 (+34.3%) and $4.27 million in FY2022 (-79.3%).
- Quarterly Long-Term Debt Repayments has ranged from $1.08 million in fiscal Q3 2022 to $2.64 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last eight quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 116.7% in fiscal Q3 2022, against a decline of 94.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.68 million (Q1 2027), $1.16 million (Q4 2026) and $1.78 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | - |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | - |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Phreesia | 699.84 Mn | 699.84 Mn | 110.19 Mn | 1.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.55 Mn |
| Apr 30, 2026 | 2.04 Mn |
| Jan 31, 2026 | 1.50 Mn |
| Oct 31, 2025 | 2.12 Mn |
| Jul 31, 2025 | 2.84 Mn |
| Apr 30, 2025 | 1.70 Mn |
| Jan 31, 2025 | 2.95 Mn |
| Oct 31, 2024 | 2.20 Mn |
| Jul 31, 2024 | 2.29 Mn |
| Apr 30, 2024 | 1.57 Mn |
| Jan 31, 2024 | 1.91 Mn |
| Oct 31, 2023 | 2.00 Mn |
| Jul 31, 2023 | 2.03 Mn |
| Apr 30, 2023 | 1.44 Mn |
| Jan 31, 2023 | 1.42 Mn |
| Oct 31, 2022 | 1.42 Mn |
| Jul 31, 2022 | 1.65 Mn |
| Apr 30, 2022 | 1.47 Mn |
| Jan 31, 2022 | 1.26 Mn |
| Oct 31, 2021 | 1.08 Mn |
API Access
Phreesia Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PHR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();